class_docstr: Simple version FMM(Forward Maximun Matching) word tokenizer. This tokenizer can only
  be used in topic model demo, but not in real business application scenarios.
  
  Notes: This tokenizer can only recognize the words in the corresponding vocab file.
class_docstr_tok: ["Simple","version","FMM","(","Forward","Maximun","Matching",")","word","tokenizer",".","This","tokenizer","can","only","be","used","in","topic","model","demo",",","but","not","in","real","business","application","scenarios",".","Notes",":","This","tokenizer","can","only","recognize","the","words","in","the","corresponding","vocab","file","."]
code: def __init__(self, vocab_path):
      super().__init__()
      self.__max_word_len = 0
      self.__vocab = set()
      self.__load_vocab(vocab_path)
  
file_path: PaddleHub/modules/text/language_model/lda_news/tokenizer.py
label_desc: Use image node_id 1 to create a new SimpleTokenizer object from inherited base classes: Tokenizer with example: obj = SimpleTokenizer(vocab_path)